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    Brillio's AI-Driven E2E Test Automation

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    Sold by: Brillio 
    Brillio’s AI-native test automation solution accelerates regression testing across complex enterprise applications by using intelligent agent workflows, retrieval-augmented generation (RAG), and headless execution via popular frameworks like Playwright reducing QA effort, enhancing accuracy, and improving release velocity.

    Overview

    Modern enterprises rely on interconnected applications and workflows, making software testing a critical yet complex and time-consuming process. Manual and siloed testing efforts often lead to longer release cycles, increased QA costs, and reduced confidence in software quality. Brillio’s AI-Driven End-to-End Test Automation addresses these challenges by automating the entire QA lifecycle using an intelligent, agent-based architecture.

    This AI-native solution empowers QA and engineering teams to define high-level testing goals or expected outcomes rather than detailed steps. Intelligent agents plan, generate, and execute tests using retrieval-augmented generation (RAG), breaking down complex test intents through multi-agent orchestration loops. These agents interact across disparate systems, reusing existing test artifacts and adapting to new scenarios with minimal manual input.

    Key Capabilities:

    AI-Powered Test Planning: Multi-agent workflows break down regression needs into testable components, leveraging system documentation, past test cases, and functional maps to plan end-to-end tests.

    Autonomous Execution and Monitoring: Tests are executed in a headless, lightweight manner using modern frameworks like Playwright. Real-time evidence capture (screenshots, videos, logs) enables detailed reporting and accurate validation.

    Reusable and Scalable Architecture: The solution reuses previously generated assets and integrates seamlessly into existing automation frameworks, minimizing effort duplication and promoting scalability across teams and environments.

    Outcome-Driven Automation: Enables business and QA stakeholders to focus on desired outcomes rather than execution specifics, boosting QA efficiency, agility, and traceability across releases.

    Deployment Approach:

    The offering combines AI-native test agents with existing automation frameworks to ensure smooth integration, cost-effective deployment, and flexible scalability across different environments.

    Business Impact:

    • Reduced regression testing cycle from 7 days to 2.5 days per release

    • 3x faster QA cycles

    • ~ 50%- 60% reduction in test creation effort

    • Improved test accuracy and reduced total cost of ownership

    • Eliminate the need for agents to re-write tests through reusable test assets

    • Continuous Expansion of Test Coverage Over Time

    Brillio’s solution enables rapid digital transformation, strengthens QA coverage, and accelerates time-to-market—across industries and technology stacks.

    AWS Services Utilized:

    Amazon Bedrock - Powers the core semantic intelligence using Anthropic Sonnet models

    Amazon ECS with Fargate and ECR - Enables easy and reliable orchestration of Containers and application hosting

    Amazon OpenSearch - Enables high throughput Vector Search with precision

    Amazon API Gateway - Provides secure, scalable access to microservices and endpoints

    Amazon S3 - Global storage for all reports and artifacts for all the tests results.

    DynamoDB - Application transactional DB and Agent artifact store.

    Highlights

    • Intelligent Test Planning with AI Agents: Multi-agent system intelligently translates outcome-based test inputs into executable test plans using past assets and documentation reducing planning time and enhancing reuse.
    • Self-Driving Execution & Real-Time Monitoring: Autonomously writes and executes tests in headless environments using tools like Playwright, generating rich, traceable reports with embedded evidence for fast issue identification.
    • Cost-Effective and Scalable QA: Blends AI-native agents with existing automation tools to minimize redundancy, cut down test creation efforts, and scale across teams with high ROI and lower QA costs.

    Details

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    Delivery method

    Deployed on AWS

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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    This AI-native test automation solution is ideal for engineering, QA, and product teams looking to accelerate regression testing, eliminate manual effort, and maintain consistent quality across complex application landscapes. Whether you're modernizing your QA processes or integrating AI into your testing pipeline, our team is here to help.

    Reach out to us at aws-marketplace@brillio.com  OR Contact US  to get started today!